/home/test/test01/hyx/LEval-main/Baselines/Predictions/exam_eval/Llama-3.1-8B-Instruct-lg/codeU.pred.jsonl
loading from /home/test/test01/hyx/LEval-main/Baselines/Predictions/exam_eval/Llama-3.1-8B-Instruct-lg/codeU.pred.jsonl, there are 90 samples
begin evaluating: exam
 15.<|eot_id|><|start_header_id|>asstant<|end_header_id|> 15<|eot_id|><|start_header_id|> Th code [6 15] | score=0
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 : `[5 15]`<|eot_id|><|start_header_id|>asstant<|end_header_id|> [5 15]<|eot_id|><|start_header_id|>asstant<|end_header_id|> [5 7 9] | score=0
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The final answer 3.<|eot_id|><|start_header_id|>asstant<|end_header_id|> 3 | score=1
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 [2 4 6].<|eot_id|><|start_header_id|>asstant<|end_header_id|> [2 4 [0 0 0] | score=0
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 the operation `ch[I]` where `I` the [0 0 0 0] | score=0
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 a scalar value which the [[1 3][2 4]] | score=0
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 `[[1 2][3 4][1 4]]`.<|eot_id|><|start_header_id|>asstant<|end_header_id|> [[1 2][3 [[1 2][3 4][4 4]] | score=0
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`asarray(obj)` defined as ` 5 | score=0
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need anything else. Have 2 | score=0
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 a 3x3 array with the elements of `a` reshaped [[1 2 3][4 5 6][7 8 9]] | score=0
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getattr(asarray(obj) method)(*args **kwds)`. 12. The function `getattr(asarray(obj) method)(*args **kwds [0 2 1 4 5 3] | score=0
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2 3].<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final answer [ [2 1 3] | score=0
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day!<|eot_id|><|start_header_id|> Have a great day!<|eot_id|><|start_header_id|>  [1 3 9] | score=0
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 the scalar value returned by [1 5 45] | score=0
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 the elements of the array `d` which are [0 0 1 2 4 6] | score=0
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 `[5 12 20 4 | score=0
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 [1 3 3 6 6].<|eot_id|><|start_header_id|>asstant<|end_header_id|> [1 3 [2 0 4 1 3] | score=0
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 : ``` [1 2 3] [1 3 6] | score=0
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 `[9]`.<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final output `[9]`.<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final answer 9.<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final [1 1 2 3 4 5 5 6 9]  | score=0
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sliced to get the second and third rows. `a[1:3 [1 4 2 4 3 4] | score=0
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 the first element 2 | score=0
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 the number of 0 | score=0
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So the output of `c = operation2(a (10))` : [1 2 3 4 [1 2 3 4 5 1 2 3 4 5] | score=0
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 : ``` [2 3][[1 2 3]] ```<|eot_id|><|start_header_id|>asstant<|end_header_id|> The [1 1 2 2 3 3] | score=0
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 : [ True 0 | score=0
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 5.<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final 4 | score=0
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 : ``` [3] 6 | score=0
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 `15`.<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final 48 | score=0
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 9765625.<|eot_id|><|start_header_id|>asstant<|end_header_id|> 9765625<|eot_id|><|start_header_id|> Th 4 | score=0
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 4.<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final 5 | score=0
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[0 2 4][7 8 9])`. The function `operation [[7 1 8][2 9 3]] | score=0
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 9.<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final 4 | score=0
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 6.<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final 0 | score=0
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 [1 2 3].<|eot_id|><|start_header_id|><|start_header_id|>asstant<|end_header_id|> The final [1 2 3] | score=1
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 an error message. The final answer : ``` ValueError: operation6() takes 2 positional arguments but 2 were [1 1 1 2 2 2 3 3 3 4 4 4 5 5 5] | score=0
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 an error message.<|eot_id|><|start_header_id|>asstant<|end_header_id|> 411936 | score=0
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2 3 4 5 6  [1 6 15] | score=0
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the output of th operation a 1D array with shape (3) where [0 1 2 3 4 5 6 7 8] | score=0
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array k. Since k a 2 [1 2 3] | score=0
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the sum of an 3 | score=0
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 will depend on the implementation of the [1 3 5 7 9] | score=0
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of a grid. 19. The `fromfunction` [[0 0][0 0]] | score=0
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in `10*a` used. 9. The array `b` [1 2 30 40] | score=0
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 the operation1 function with arguments (a b) which [1 2 3 4 5 6] | score=0
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 : [1 1][1 14 | score=0
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0]]<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final answer : [[0 0 0][0 1 0][ [[0 0 0][0 1 2][0 2 4]] | score=0
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 : [1 2]<|eot_id|><|start_header_id|>asstant<|end_header_id|> The [1 2] | score=1
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True False False][False True False][False False True]]<|eot_id|> [[0 1][0 2][1 1]] | score=0
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 : [0 1 2 3 4]<|eot_id|><|start_header_id|>asstant<|end_header_id|> The [4 5 1 2 3] | score=0
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with `a = [1 [3.5] | score=0
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function `multiply(a b)` defined as `return multiply(a b [2 7 17 19 15] | score=0
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[123]` `b = [456]` 32 | score=0
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 `(-3 6 -3)`.<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final [-3 6 -3] | score=0
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The final answer [0].<|eot_id|><|start_header_id|>asstant [[4]] | score=0
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final answer : NameError<|eot_id|><|start_header_id|>asstant -2 | score=0
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 . If you provide the [32 64 96] | score=0
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final answer [0 0 [[1][2]] | score=0
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 the boolean array [[0][1][2]] | score=0
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0 0][0 0 0][0 0 0][0 0 0]  [[ 0 0 0 0 14]] | score=0
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 the array `e` with the elements replaced [-1 -1 -1 -1 -1] | score=0
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 . Now lets analyze the [[1 0 0]] | score=0
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array `c` where `c [[5][10]] | score=0
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answer 21.<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final answer  [90 99 90] | score=0
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each coordinate. 23. The True | score=0
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True.<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final answer True.<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final answer True.<|eot_id|><|start_header_id|>asstant<|end_header_id|>  [[-7 14 -7][-7 14 -7][-7 14 -7]] | score=0
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lpn2<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final answer : lpn2<|eot_id|><|start_header_id|>asstant<|end_header_id|>  the _n_l_p is c_ool1 | score=0
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final answer "n***e@gmail.com".<|eot_id|><|start_header_id|>asstant<|end_header_id|>  *********.com | score=0
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-..- -..- -..- -..- -..- -..- -..- -..- -..- -..- -..- -.. -. .-.. .--. .. ... -.-. --- --- .-.. | score=1
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"nlp!": 1}<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final answer : {"I": 1 " {"i": 1 "love": 1 "nlp": 1} | score=0
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 "dlroW!".<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final !dlroW | score=0
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 "NLP insteresting."<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final output NlP Is InTeReStInG. | score=0
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output "i_aam_anlper.***".<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final output "i_aam_an i aam_a_n_l_per. *** | score=0
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 "NLP ".<|eot_id|><|start_header_id|>asstant<|end_header_id|> The NLP | score=1
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 the JSON string representation of the word frequency {"nlp": 1 "a": 1 "cool": 1} | score=0
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 "NLP insteresting".<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final :$5n l9=l3!#< | score=0
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insteresting".<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final answer "NLP insteresting".<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final answer "NLP insteresting".<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final answer "NLP insteresting".<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final answer "NLP insteresting".<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final answer "NLP insteresting".<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final answer "NLP insteresting".<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final answer "NLP insteresting".<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final P: 1 -> : 2 -> t: 2 -> e: 2 -> r: 1 -> .: 1 -> N: 1 -> g: 1 -> s: 2 -> i: 3 -> n: 2 -> L: 1 | score=0
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The final answer "2032 2032-12-01aaabbbb | score=0
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of syllables in the string "NLP IS interesting! ***-*** NLP is interesting ! xxx-xxx-1100 T*m@gmail.Com7 | score=0
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1_ 1_interesting. 1_cannot 1_POS0 1_POS1 1_POS2 1_POS 3_PLN_POS0 2_sI_POS1 12_DOTgnItsErEtnI_POS2 6_tOnnAc_POS3 | score=0
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string a palindrome ignoring punctuation and case. 28. The Character: L Type: consonant Frequency: 15 | score=0
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final answer "NLP insteresting Interesting.[1]1 | score=0
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L || P || ||!".<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final output "False || N || L || P || ||!".<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final output "False || False{"F": || 1 || "a": || 1 || "l": || 1 || "s": || 1 || "e": || 1} | score=0
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 "I Love nlp!".<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final i EVOL !PLN | score=0
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final answer : True<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final answer : True<|eot_id|><|start_header_id|>asstant I love nlp! large large JohnFalse | score=0
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. The final answer leveldeed | score=0
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The final output "http iuuq://xxx.hpphmf.dpn | score=0
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answer "I1love1NLP1".<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final answer " I1 1l1o1v1e1 1N1L1P1 | score=0
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Th function makes all keywords in the string I Am a Nlper. YOGA | score=0
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 should be "NLPFalse".<|eot_id|><|start_header_id|>asstant<|end_header_id|> 3False | score=0
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 "NLP insteresting 1982/03".<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final output "NLP insteresting 1982/03".<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final answer "NLP insteresting 1982/03".<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final answer "NLP insteresting 1982/03".<|eot_id|><|start_header_id|>asstant<|end_header_id|> The final answer "NLP insteresting T H E N L P I S C O O L 1 9 8 2 / 0 3[1 9 8 2 0 3] | score=0
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There are 5 correct answers 
 [for coursera:] 0 can not select all correct options
 Total: 90 questions.
{'exact_match': 5.5556, 'num_predicted': 90, 'mean_prediction_length_characters': 70.8333, 'LEval_score': 5.5556, 'display_keys': ['exact_match'], 'display': [5.5556]}
/home/test/test01/hyx/LEval-main/Baselines/Predictions/exam_eval/Llama-3.1-8B-Instruct-lg/sci_fi.pred.jsonl
loading from /home/test/test01/hyx/LEval-main/Baselines/Predictions/exam_eval/Llama-3.1-8B-Instruct-lg/sci_fi.pred.jsonl, there are 2 samples
begin evaluating: exam
false true | score=0
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false true | score=0
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There are 0 correct answers 
 [for coursera:] 0 can not select all correct options
 Total: 2 questions.
false false | score=1
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false false | score=1
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There are 2 correct answers 
 [for coursera:] 0 can not select all correct options
 Total: 2 questions.
loyalty score: {'exact_match': 0.0, 'num_predicted': 2, 'mean_prediction_length_characters': 5.0, 'LEval_score': 0.0, 'display_keys': ['exact_match'], 'display': [0.0]}
fact score: {'exact_match': 100.0, 'num_predicted': 2, 'mean_prediction_length_characters': 5.0, 'LEval_score': 100.0, 'display_keys': ['exact_match'], 'display': [100.0]}
average score of fact and loyalty: 50.0
/home/test/test01/hyx/LEval-main/Baselines/Predictions/ngram_eval/Llama-3.1-8B-Instruct-lg/legal_contract_qa.pred.jsonl
loading from /home/test/test01/hyx/LEval-main/Baselines/Predictions/ngram_eval/Llama-3.1-8B-Instruct-lg/legal_contract_qa.pred.jsonl, there are 154 samples
begin evaluating: f1
{'f1': 16.1961, 'num_predicted': 130, 'mean_prediction_length_characters': 2710.6385, 'LEval_score': 16.1961, 'display_keys': ['f1'], 'display': [16.1961]}
/home/test/test01/hyx/LEval-main/Baselines/Predictions/ngram_eval/Llama-3.1-8B-Instruct-lg/meeting_summ.pred.jsonl
loading from /home/test/test01/hyx/LEval-main/Baselines/Predictions/ngram_eval/Llama-3.1-8B-Instruct-lg/meeting_summ.pred.jsonl, there are 177 samples
begin evaluating: rouge
{'rouge/rouge1': 11.3458, 'rouge/rouge2': 2.7324, 'rouge/rougeL': 9.0121, 'rouge/rougeLsum': 9.9154, 'rouge/geometric_mean': 6.5374, 'num_predicted': 156, 'mean_prediction_length_characters': 2891.2372, 'LEval_score': 6.5374, 'display_keys': ['rouge/rouge1', 'rouge/rouge2', 'rouge/rougeL'], 'display': [11.3458, 2.7324, 9.0121]}
/home/test/test01/hyx/LEval-main/Baselines/Predictions/ngram_eval/Llama-3.1-8B-Instruct-lg/narrative_qa.pred.jsonl
loading from /home/test/test01/hyx/LEval-main/Baselines/Predictions/ngram_eval/Llama-3.1-8B-Instruct-lg/narrative_qa.pred.jsonl, there are 0 samples
/home/test/test01/hyx/LEval-main/Baselines/Predictions/ngram_eval/Llama-3.1-8B-Instruct-lg/natural_question.pred.jsonl
loading from /home/test/test01/hyx/LEval-main/Baselines/Predictions/ngram_eval/Llama-3.1-8B-Instruct-lg/natural_question.pred.jsonl, there are 109 samples
begin evaluating: f1
{'f1': 1.6763, 'num_predicted': 104, 'mean_prediction_length_characters': 2798.9423, 'LEval_score': 1.6763, 'display_keys': ['f1'], 'display': [1.6763]}
/home/test/test01/hyx/LEval-main/Baselines/Predictions/ngram_eval/Llama-3.1-8B-Instruct-lg/review_summ.pred.jsonl
loading from /home/test/test01/hyx/LEval-main/Baselines/Predictions/ngram_eval/Llama-3.1-8B-Instruct-lg/review_summ.pred.jsonl, there are 144 samples
begin evaluating: rouge
{'rouge/rouge1': 18.1752, 'rouge/rouge2': 4.2165, 'rouge/rougeL': 11.7792, 'rouge/rougeLsum': 16.9204, 'rouge/geometric_mean': 9.6646, 'num_predicted': 120, 'mean_prediction_length_characters': 2688.5417, 'LEval_score': 9.6646, 'display_keys': ['rouge/rouge1', 'rouge/rouge2', 'rouge/rougeL'], 'display': [18.1752, 4.2165, 11.7792]}
